同/异步短码DS-CDMA信号伪码序列及信息序列盲估计

针对传统单通道异步直接序列码分多址(DS-CDMA)信号信息序列及伪码序列(PN)难以估计的问题，该文提出一种基于平行因子(PARAFAC)的多通道盲估计方法。该方法首先将信号建模为多通道接收模型，然后将观测数据矩阵等效为平行因子模型，最后使用迭代最小二乘算法对平行因子进行低秩分解，进一步完成对DS-CDMA信号各用户的信息序列及伪码序列进行估计。仿真实验表明，该方法不仅能有效地对同步、异步短码DS-CDMA信号的伪码序列及信息序列进行估计，而且能在通道数为6、信噪比(SNR)为–10 dB的条件下，实现10个用户伪码序列的有效估计。

Blind Estimation of the Pseudo Noise Sequence and Information Sequence for Short Code Synchronous and Asynchronous DS-CDMA Signal

For the problem of Direct Sequence-Code Division Multiple Access (DS-CDMA) signal in traditional asynchronous single-channel, including blind estimation of the Pseudo-Noise (PN) sequence and information sequence, a method using multi-channel synchronous and asynchronous based on PARAllel FACtor (PARAFAC) is proposed. Firstly, the signal is modeled as a multi-channel receiving model, then the observed data matrix is equivalent to a factor model. Finally, the iterative least squares algorithm is applied to decomposing the parallel factor, and the information sequence and PN sequences of DS-CDMA signals are further estimated. The simulation results show that the proposed method can effectively estimate the PN sequence and information sequence of the short code DS-CDMA signal, and the estimation of 6 user PN sequences can be realized under the condition that the number of channels is 10 and the Signal-to-Noise Ratio (SNR) is –10 dB.